heatmap

问题 I want seaborn heatmap to display multiple values in each cell of the heatmap. Here is a manual example of what I want to see, just to be clear: data = np.array([[0.000000,0.000000],[-0.231049,0.000000],[-0.231049,0.000000]]) labels = np.array([['A\nExtra Stuff','B'],['C','D'],['E','F']]) fig, ax = plt.subplots() ax = sns.heatmap(data, annot = labels, fmt = '') Here as an example to get seaborn.heat to display flightsRoundUp values in the cells. import matplotlib.pyplot as plt import seaborn

问题 I have a relatively simple heatmap using geom_tile in ggplot2. It's just a small matrix of continuous data as colored boxes ( df1 ) and I'd like to overlay a second, logical geom_tile that outlines the TRUE values ( df2 ). Can such a thing be done? I know that adding two heatmaps together seems like it would be ugly but these are small and pretty simple affairs. library(ggplot2) n <- 4 df1 <- data.frame(x = rep(letters[1:n], times = n), y = rep(1:n, each = n), z = rnorm(n ^ 2)) df2 <- data

问题 I'm plotting a Seaborn heatmap and I want to center the y-axis tick labels, but can't find a way to do this. 'va' text property doesn't seem to be available on yticks() . Considering the following image I'd like to align the days of the week to the center of the row of squares Code to generate this graph: import pandas as pd import seaborn as sns import numpy as np import matplotlib.pyplot as plt #Generate dummy data startDate = '2017-11-25' dateList = pd.date_range(startDate, periods=365)

问题 I adapted a heatmap plot for a confusion matrix from this answer. However I would like to twist it. In the diagonal (from top left to bottom right) are the matches (correct classifications). My aim would be, to plot this diagonal in a yellow color palette. And mismatches (so all tiles except those in the diagonal) in a red color palette. In my plot.cm function I can get the diagonal with cm_d$diag <- cm_d$Prediction == cm_d$Reference # Get the Diagonal cm_d$ndiag <- cm_d$Prediction != cm_d

问题 I am plotting multiple heatmaps together and don't want them to crowed the space with their axes' labels. I tried to use plt.tight_layout() and it is throw some errors at me. This is my result without plt.tight_layout(): heatmaps without plt.tight_layout() How can I plot these heatmaps together without them overlapping/overcrowding? What do these plt.tight_layout() errors mean? This is the error I get: Traceback (most recent call last): File "C:/Users/mbsta/Desktop/OOL_Research/heatmaptrying

问题 I am plotting multiple heatmaps together and don't want them to crowed the space with their axes' labels. I tried to use plt.tight_layout() and it is throw some errors at me. This is my result without plt.tight_layout(): heatmaps without plt.tight_layout() How can I plot these heatmaps together without them overlapping/overcrowding? What do these plt.tight_layout() errors mean? This is the error I get: Traceback (most recent call last): File "C:/Users/mbsta/Desktop/OOL_Research/heatmaptrying

问题 I'm working on a heatmap chart using dc.js. During the page loads, i want to manually filter the heatmap. For example, if it filter using this heatmap.filter("30,0"); it works when the page loads. but when i try to filter multiple values using the .filter() function, it didnt work. I tried doing this just for testing. var test = []; test.push("30,0"); test.push("40,2"); heatmapChart.filter(test); Though it works if its only one item, but if i add another array item, the chart breaks. Is there

问题 I've got too many features in a data frame. I'm trying to plot ONLY the features which are correlated over a certain threshold, let's say over 80%, and show those in a heatmap. I put some code together, and it runs, but I still see some white lines, which have no data, and thus no correlation. Also, I'm seeing things that are well under 80% correlation. Here is the code that I tried. import seaborn c = newdf.corr() plt.figure(figsize=(10,10)) seaborn.heatmap(c, cmap='RdYlGn_r', mask = (np.abs

问题 The Plotly documentation on heatmap animation is pretty difficult to understand. Could someone explain how to animate a heatmap? Here is my specific example. import numpy as np from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot import plotly.graph_objs as go init_notebook_mode(connected=True) x = np.linspace(0, 1, 200) y = np.linspace(0, 1, 200) xx, yy = np.meshgrid(x, y) def plane_wave(phase): return np.sin(8*np.pi * (xx - phase)) zz = plane_wave(0) trace = go

问题 The Plotly documentation on heatmap animation is pretty difficult to understand. Could someone explain how to animate a heatmap? Here is my specific example. import numpy as np from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot import plotly.graph_objs as go init_notebook_mode(connected=True) x = np.linspace(0, 1, 200) y = np.linspace(0, 1, 200) xx, yy = np.meshgrid(x, y) def plane_wave(phase): return np.sin(8*np.pi * (xx - phase)) zz = plane_wave(0) trace = go